In this paper, we propose an inhomogeneous restoration (deconvolution) model under the Bayesian framework exploiting a non parametric adaptive prior distribution derived from the appealing and natural image model recently proposed by Buades et al. (2005) for pure denoising applications. This prior expresses that acceptable restored solutions are likely the images exhibiting a high degree of redundancy. In other words, this prior will favor solutions (i.e., restored images) with similar pixel… CONTINUE READING